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Java Full Stack-Generative AI, Agentic AI

Wells Fargo

Hyderabad

7+ years

1 day ago

$56.6K–71.1K/yr

Full-time

Onsite

Skills Required LLM

RAG

Gen AI

Agentic AI

Embeddings

Vector Database

Prompt Engineering

Java

Spring Boot

REST API

Microservices

Concurrency

Performance Optimization

React

Angular

Description Wells Fargo is seeking a Principal Engineer to provide enterprise-level technical leadership for architecture, design, engineering, and modernization of mission-critical Financial Crimes and Risk Management platforms. The role spans Java-based distributed systems, modern web technologies, cloud-native platforms, machine learning, Generative AI, and Agentic AI.

Company: Wells Fargo

Role: Principal Engineer - Java Full Stack-Generative AI, Agentic AI

Location: Hyderabad

Experience

- 7+ years of Engineering experience
- Strong hands-on experience in the Java ecosystem
- Strong experience in frontend architecture and development
- Proven experience designing, building, modernizing, and operating large-scale distributed systems in production
- Hands-on experience delivering Generative AI solutions
- Experience integrating AI capabilities into enterprise platforms, backend services, digital workflows, and engineering processes
- Experience defining architecture and integration patterns for machine learning-enabled systems, model services, data pipelines, and scalable deployment
- Experience with cloud-native architecture, containers, orchestration platforms, infrastructure automation, CI/CD, DevSecOps, observability, and site reliability engineering practices
- Experience designing highly available and resilient systems with appropriate recovery, fault-tolerance, capacity, performance, monitoring, and operational-support patterns
- Experience working in Financial Crimes, Risk Management, banking, financial services, or another highly regulated environment
- Ability to balance strategic architecture with hands-on technical engagement, including prototyping, design validation, code review, and complex problem resolution
- Demonstrated ability to influence decisions without direct authority and establish alignment across product, engineering, architecture, security, risk, and business stakeholders
- Experience mentoring engineers, developing technical talent, raising engineering standards, and building communities of practice
- Evidence of technical thought leadership through patents, publications, conference participation, external engineering forums, open-source contribution, industry engagement, or equivalent internal influence

Responsibilities

- Provide enterprise-level technical leadership for architecture, design, engineering, and modernization of Financial Crimes and Risk Management platforms
- Advise leadership on applications, network, information security, database, operating systems, and web technologies for highly complex business and technical needs
- Lead strategy and resolution of highly complex and unique challenges across multiple areas or the enterprise
- Translate advanced technology experience and business objectives into technical engineering solutions
- Provide vision, direction, and expertise to leadership on implementing innovative and significant business solutions




- Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or competitive advantage
- Strategically engage with professionals and managers across the enterprise as an expert advisor
- Shape next-generation digital platforms and intelligent systems
- Ensure solutions meet high standards of scalability, security, resiliency, operability, regulatory alignment, and engineering excellence
- Develop deep expertise in the Financial Crimes and Risk Management domain
- Apply emerging technologies responsibly to business problems and convert concepts into practical experiments, reusable patterns, and scalable solutions
- Benchmark internal solutions against industry-leading practices and identify opportunities for innovation, simplification, automation, reuse, and artificial intelligence
- Contribute to multi-year technology direction across Financial Crimes and Risk Management
- Drive engineering excellence across security, resiliency, performance, observability, automation, testability, maintainability, accessibility, and operational readiness
- Establish architecture direction without becoming a delivery bottleneck
- Represent engineering perspectives in strategic planning and executive discussions

Additional Responsibilities

- Look across Financial Crimes domains and the wider technology organization for redundant platforms, duplicated services, overlapping capabilities, and inconsistent engineering patterns
- Proactively recommend consolidation, reuse, standardization, simplification, or retirement opportunities when they improve enterprise outcomes
- Balance innovation with regulatory obligations, security requirements, resource constraints, operational readiness, and long-term supportability
- Challenge existing assumptions, architectural decisions, technology choices, operating models, and established approaches with evidence, technical reasoning, business context, and viable alternatives
- Maintain regular hands-on engagement with critical designs, code, prototypes, engineering standards, technical investigations, and production concerns
- Enable teams through principles, reusable patterns, decision frameworks, and appropriate delegation
- Mentor engineers across levels and organizational boundaries
- Contribute to recruiting, developing, and retaining diverse engineering talent
- Share knowledge through technical forums, reusable documentation, architecture communities, publications, and appropriate external industry engagement
- Establish measurable outcomes for major technical initiatives and assess success through business value, risk reduction, reuse, simplification, reliability, engineering productivity, and sustainable adoption
- Support Wells Fargo risk and compliance obligations, including proactive monitoring, governance, risk identification and escalation, and sound risk decisions
- Ensure timely and effective escalation and remediation of issues




- Follow and adhere to applicable Wells Fargo policies and procedures
- Support the drug free workplace requirement
- Comply with the prohibition on third-party recordings unless authorized by Wells Fargo
- Directly represent your own experiences during the recruiting and hiring process

Nice To Have

- Awareness of emerging areas such as digital assets, harness engineering, loop engineering, newer AI models, intelligent automation, up-to-date data platforms, and next-generation development practices
- Strong executive communication skills
- Experience creating reusable platforms, common services, reference architectures, accelerators, or engineering frameworks that can be adopted by multiple teams
- Demonstrated curiosity about emerging technology concepts and the ability to evaluate their practical application to business problems
- Understanding of regulatory, security, privacy, model risk, data governance, audit, resiliency, and operational-risk considerations relevant to enterprise technology solutions
- Ability to connect engineering decisions to business results, customer outcomes, regulatory obligations, risk reduction, operational efficiency, and return on investment
- Strong ability to communicate complex engineering issues, alternatives, risks, and recommendations in concise business language
- Ability to influence decisions without direct authority
- Ability to lead with a growth mindset and continuously learn emerging technologies, industry trends, business domains, and engineering practices
- Ability to maintain deep expertise in primary technical disciplines while gaining adjacent-discipline knowledge
- Ability to evaluate how emerging capabilities can be responsibly applied to Financial Crimes and Risk Management
- Ability to remain open to diverse perspectives and credible challenges
- Ability to build communities of practice
- Thought leadership through internal influence

More Skills JavaScript, TypeScript, HTML, CSS, object-oriented design, domain-driven design, API design, event-driven systems, integration patterns, distributed computing, evaluation approaches, agent orchestration frameworks, machine learning, cloud-native architecture, containers, orchestration platforms, infrastructure automation, CI/CD, DevSecOps, observability, site reliability engineering, regulatory, security, privacy, model risk, data governance, audit, resiliency, operational risk

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